What the Data for This Category Looks Like
Data for chemical raw materials is used in financial scenarios such as supply chain marketing for chemical raw materials and customer acquisition recommendations for financial advisors. Data sources include upstream supplier quotation systems, customs import and export ledgers, and monthly monitoring reports from industry associations. Update frequencies differ by data type. Basic quotation data updates weekly. Production capacity and inventory data updates monthly or quarterly. Each data document typically includes these fields: CAS registry number, product name, purity specification, origin identifier, quotation unit (yuan/ton), current inventory surplus, and contact information for connected suppliers. Some subcategories also include compliance test report numbers.
Constraints for Multi-turn Dialogue and Prompt Engineering
This data supports financial scenarios including supply chain marketing for chemical raw materials and customer acquisition recommendations for financial advisors. Data with different update frequencies must be clearly distinguished by timeliness in multi-turn dialogue. Mixing expired production capacity data with real-time quotations causes information deviations in marketing content. Fields include professional identifiers such as CAS numbers and purity specifications. Prompts must accurately match field names to extract valid information. Failure to do so leads to field confusion or incorrect recommendations. The quotation unit is uniformly set to yuan/ton. The unit context must be fixed during multi-turn dialogue to avoid conversion errors between different units. When multiple raw material categories are involved in a single conversation, the context window must be large enough to retain all raw material information mentioned across turns. This prevents loss of key parameters.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Chemical raw material data includes multiple long fields such as CAS numbers and purity specifications. Multi-turn dialogue requires retaining raw material information mentioned across turns to avoid context truncation |
recallTopK | Top 6–8 entries | Marketing content must cover quotations and inventory information from mainstream suppliers. Excessive recall will cause context overload, while insufficient recall will fail to provide sufficient options |
similarityThreshold | 0.75–0.85 | Precise matching of raw material CAS numbers and purity specifications is required to avoid recalling irrelevant category data and ensure the professionalism of marketing content |
fixedDialogFlow | Bind current conversation's raw material category identifier | A single conversation must use a fixed processing workflow to avoid logical confusion caused by switching between different raw materials, matching the unified dialogue requirements of financial scenarios |
LLM_RESPONSE_TIMEOUT | 60 seconds | Generating marketing content for multiple sets of chemical raw material parameters requires sufficient generation time to avoid dialogue interruption due to timeout |
autoWorkflowTrigger | Enable automatic trigger on conversation initialization | Match the requirement of workflow-based automatic questioning, automatically load the marketing material library corresponding to the raw material when the conversation starts |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: The first conversation request has a delay exceeding 3 seconds, while subsequent requests run at normal speed. Cause: No LLM warm-up mechanism is configured, or relevant threshold values are set too high. This leads to excessive model weight loading time during the first call.
- Phenomenon: After switching raw material categories mid-conversation, the prompt continues to use the previous round's processing logic. Cause: The
fixedDialogFlowconfiguration is not enabled, and the current conversation's raw material category identifier is not bound. This results in loss of category association information in the context. - Phenomenon: A
504 Gateway Timeouterror is returned when generating marketing content. Cause: No reasonableLLM_RESPONSE_TIMEOUTvalue is set, or therecallTopKvalue is too high. This causes the model to process an excessive volume of data that exceeds the timeout limit.
How to Verify Successful Configuration
- Initiate the first conversation, check the delay performance of the first request, and adjust the warm-up configuration and timeout parameters to meet business expectations.
- Test conversations that mention multiple different chemical raw materials across turns. Confirm that the conversation flow does not undergo unexpected switching, and verify that the fixed workflow configuration is active.
- Input raw material keywords with different purities and CAS numbers. Check the relevance of recall results, and adjust the similarity threshold and number of recalled entries to match business requirements.
- Trigger workflow-based automatic questioning. Confirm that the corresponding marketing materials are automatically loaded when the conversation starts, and verify that the automatic trigger configuration is active.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.